Hybrid Semantic Grep for Claude Code
Releasing ColGREP today, made using our open-source multi-vector database, it support grep like filtering while adding an extra input to rank output of grep based on semantic similarity. ColGREP is packed with strong code retrieval models we designed and run 100% locally.
Hybrid Semantic Grep for Claude Code launched on February 12, 2026 with 5 votes, #1,882 of 16,627 launches that month and more than 75% of that year's launches.
What it does
NextPlaid, ColGREP: Multi-vector search, from database to coding agents. - lightonai/next-plaid
Does a similar job
all alternatives →
Semantic grep with local embeddings2025 · github.com · ▲179Local first semantic and hybrid BM25 grep / search tool for use by AI and humans! - GitHub - BeaconBay/ck: Local first semantic and hybrid BM25 grep / search tool for use by AI and humans!
Semantic Grep – A Word2Vec-powered search tool2024 · github.com · ▲356Much improved new version. Search for words similar to the query. For example, "death" will find "death", "dying", "dead", "killing"... Incredibly useful for exploring large text datasets where exact matches are too restrictive.
- IWI wrote a book on GNU grep and ripgrep2019 · ▲182
My book on "GNU grep and ripgrep" is free to download today and tomorrow [1][2] Code snippets, example files and sample chapters are available on GitHub [3] The book uses plenty of examples and regular expressions are also covered from scratch. The book is suitable for beginners as well as serves as a reference. Hope you find it useful, I would be grateful for your feedback and suggestions. I used pandoc+xelatex [4] to generate the pdf. [1] https://gumroad.com/l/gnugrep_ripgrep [2] https://leanpub.com/gnugrep_ripgrep [3]…
- SCSearch code in GitHub repos using regular expressions2020 · grep.app · ▲614
SeaGOAT – local, “AI-based” grep for semantic code search2023 · github.com · ▲240local-first semantic code search engine. Contribute to kantord/SeaGOAT development by creating an account on GitHub.
- IMI made a website to semantically search ArXiv papers2024 · papermatch.mitanshu.tech · ▲324
As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…
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